Identifying Plagiarised Programming Assignments with Detection Tool Consensus

Autor/inn/en	Cheers, Hayden; Lin, Yuqing; Yan, Weigen
Titel	Identifying Plagiarised Programming Assignments with Detection Tool Consensus
Quelle	In: Informatics in Education, 22 (2023) 1, S.1-19 (19 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1648-5831
Schlagwörter	Plagiarism; Assignments; Computer Software; Computer Science Education; Identification; Programming; Scores; Case Studies; Undergraduate Students; Comparative Analysis + Suchen Sie Ihr Suchwort? Plagiat; Assignment; Auftrag; Zuweisung; Computer science lessons; Informatikunterricht; Identifikation; Identifizierung; Programmierung; Case study; Fallstudie; Case Study
Abstract	Source code plagiarism is a common occurrence in undergraduate computer science education. Many source code plagiarism detection tools have been proposed to address this problem. However, most of these tools only measure the similarity between assignment submissions, and do not actually identify which are suspicious of plagiarism. This work presents a semi-automatic approach that enables the indication of suspicious assignment submissions by analysing source code similarity scores among the submissions. The proposed approach seeks the consensus of multiple source code plagiarism detection tools in order to identify program pairs that are consistently evaluated with high similarity. A case study is presented to demonstrate the use of the proposed approach. The results of this case study indicate that it can accurately identify assignment submissions that are suspicious of plagiarism. (As Provided).
Anmerkungen	Vilnius University Institute of Mathematics and Informatics, Lithuanian Academy of Sciences. Akademjos str. 4, Vilnius LT 08663 Lithuania. Tel: +37-5-21-09300; Fax: +37-5-27-29209; e-mail: info@mii.vu.lt; Web site: https://infedu.vu.lt/journal/INFEDU
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01